DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cubrid vs. FatDB vs. mSQL vs. Prometheus vs. Vitess

System Properties Comparison Cubrid vs. FatDB vs. mSQL vs. Prometheus vs. Vitess

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonFatDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPrometheus  Xexclude from comparisonVitess  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA .NET NoSQL DBMS that can integrate with and extend SQL Server.mSQL (Mini SQL) is a simple and lightweight RDBMSOpen-source Time Series DBMS and monitoring systemScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
hughestech.com.au/­products/­msqlprometheus.iovitess.io
Technical documentationcubrid.org/­manualsprometheus.io/­docsvitess.io/­docs
DeveloperCUBRID Corporation, CUBRID FoundationFatCloudHughes TechnologiesThe Linux Foundation, PlanetScale
Initial release20082012199420152013
Current release11.0, January 20214.4, October 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC#CGoGo
Server operating systemsLinux
Windows
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoImport of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia applicationsnonoyes infoproprietary syntax
Triggersyesyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
nonenoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsnonoUsers with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CubridFatDBmSQL infoMini SQLPrometheusVitess
Recent citations in the news

Higher Education PS rules out ghost students before PAC
29 November 2018, diggers.news

provided by Google News

VTEX scales to 150 million metrics using Amazon Managed Service for Prometheus | Amazon Web Services
10 March 2024, AWS Blog

Exadata Real-Time Insight - Quick Start
3 April 2024, Oracle

OpenTelemetry vs. Prometheus: You can’t fix what you can’t see
29 March 2024, IBM

VictoriaMetrics Offers Prometheus Replacement for Time Series Monitoring
17 July 2023, The New Stack

Linux System Monitoring with Prometheus, Grafana, and collectd
1 February 2024, Linux Journal

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here